}

// port-forward to Istio System Jaeger; open browser
func jaegerDashCmd(ctx cli.Context) *cobra.Command {
	var opts clioptions.ControlPlaneOptions
	cmd := &cobra.Command{
		Use:   "jaeger",
		Short: "Open Jaeger web UI",
		Long:  `Open Istio's Jaeger dashboard`,
		Example: `  istioctl dashboard jaeger

  # with short syntax
  istioctl dash jaeger
  istioctl d jaeger`,

quarkus/extensions/resteasy-classic/rest-client-jsonb/runtime/pom.xml
	quarkus/extensions/resteasy-classic/rest-client/runtime/pom.xml
	quarkus/extensions/jsonb/runtime/pom.xml
quarkus/extensions/jaeger/deployment/pom.xml
	quarkus/core/deployment/pom.xml
	quarkus/extensions/jaeger/runtime/pom.xml
	quarkus/test-framework/junit5-internal/pom.xml
	quarkus/extensions/arc/deployment/pom.xml
	quarkus/extensions/smallrye-metrics/deployment/pom.xml

  virtual absl::Status SummarizeValue(std::string& summary) const;

  // For LLVM style RTTI.
  static bool classof(const AbstractTensorHandle* ptr) {
    return ptr->getKind() == kEager || ptr->getKind() == kTfrt;
  }

 protected:
  explicit ImmediateExecutionTensorHandle(AbstractTensorHandleKind kind)
      : AbstractTensorHandle(kind) {}
  ~ImmediateExecutionTensorHandle() override {}
};

// This interface allows building and executing an operation in either
// tracing or immediate execution mode.
class AbstractOperation {
 protected:
  enum AbstractOperationKind {
    kGraph,
    kMlir,
    kEager,
    kTfrt,
    kTape,
    kOpHandler
  };
  explicit AbstractOperation(AbstractOperationKind kind) : kind_(kind) {}
  virtual ~AbstractOperation() {}

 public:

//	}
//	ETag = ETag.Format()
func (e ETag) Format() ETag {
	if !e.IsEncrypted() {
		return e
	}
	return e[len(e)-16:]
}

var _ Tagger = ETag{} // compiler check

// ETag returns the ETag itself.
//
// By providing this method ETag implements
// the Tagger interface.
func (e ETag) ETag() ETag { return e }

// FromContentMD5 decodes and returns the Content-MD5

	"fmt"
	"hash"
	"io"
)

// Tagger is the interface that wraps the basic ETag method.
type Tagger interface {
	ETag() ETag
}

type wrapReader struct {
	io.Reader
	Tagger
}

var _ Tagger = wrapReader{} // compiler check

// ETag returns the ETag of the underlying Tagger.
func (r wrapReader) ETag() ETag {
	if r.Tagger == nil {
		return nil
	}
	return r.Tagger.ETag()
}

    byte[] key = fillByteArray(80, 0xaa);
    String data = "Test Using Larger Than Block-Size Key - Hash Key First";

    checkSha1("aa4ae5e15272d00e95705637ce8a3b55ed402112", key, data);
  }

  public void testRfc2202_hmacSha1_case7() {
    byte[] key = fillByteArray(80, 0xaa);
    String data = "Test Using Larger Than Block-Size Key and Larger Than One Block-Size Data";

#ifndef TENSORFLOW_C_EAGER_GRADIENTS_H_
#define TENSORFLOW_C_EAGER_GRADIENTS_H_

#include "absl/container/flat_hash_map.h"
#include "tensorflow/c/eager/abstract_context.h"
#include "tensorflow/c/eager/abstract_tensor_handle.h"
#include "tensorflow/c/eager/tape.h"
#include "tensorflow/core/common_runtime/eager/attr_builder.h"

namespace tensorflow {
namespace gradients {

Türü yol olmayan bir parametre (şu ana kadar sadece sorgu parametrelerini gördük) için varsayılan değer tanımlarsanız o parametre zorunlu olmayacaktır.

Parametre için belirli bir değer atamak istemeyip parametrenin sadece isteğe bağlı olmasını istiyorsanız değerini `None` olarak atayabilirsiniz.

Fakat, bir sorgu parametresini zorunlu yapmak istiyorsanız varsayılan bir değer atamamanız yeterli olacaktır:

```Python hl_lines="6-7"

#ifndef TENSORFLOW_C_EAGER_GRADIENT_CHECKER_H_
#define TENSORFLOW_C_EAGER_GRADIENT_CHECKER_H_

#include <memory>

#include "absl/types/span.h"
#include "tensorflow/c/eager/abstract_tensor_handle.h"
#include "tensorflow/c/eager/unified_api_testutil.h"

namespace tensorflow {
namespace gradients {

/* Returns numerical grad inside `dtheta_approx` given `forward` model and
 * parameter specified by `input_index`.